Workflow
AI Project Architecture Workflow
Design a system's architecture on its real trade-offs instead of a confident diagram — put the model in an architect's seat, work the decisions one at a time, and write down the why.
AI Workflows
Resources give you one prompt. Workflows give you the whole execution path — step-by-step guides that connect multiple NewPrompt tools and resources to solve a complete problem end to end.
Featured workflows
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Workflow
AI Code Review Workflow
A complete AI-assisted review pass — not one prompt — that ends with ranked findings, tests guarding behavior, and a refactor plan when one is warranted.
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AI Test Generation Workflow
Build a test suite that fails for real reasons, not green decoration — coverage across unit, integration, and edge cases, then a review for the gaps.
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AI Data Extraction Workflow
Turn messy text into structured data you can trust enough to feed another system — bound the source, extract the fields, force clean JSON, and validate before it flows downstream.
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AI Programmatic SEO Workflow
Generate many intent-matched SEO pages from a template without the thin-content spam — map the search intents, define the page variables, build the template, and QA before publishing at scale.
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AI Content Strategy Workflow
Decide what to publish and why before you write a word — set the business goals and audience, map needs to topics, brief the priority pieces, then turn it into a content plan you publish against.
All Workflows
44 Workflows
Workflow
AI Project Architecture Workflow
Design a system's architecture on its real trade-offs instead of a confident diagram — put the model in an architect's seat, work the decisions one at a time, and write down the why.
Workflow
AI API Design Workflow
Design an API on its contract instead of discovering it endpoint by endpoint — model the resources, design the endpoints and payloads, pin the contract, then review it before code locks it in.
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AI Database Design Workflow
Design a schema on its data, not a hunch — model the entities and relationships, set the constraints that protect integrity, plan indexes around real queries, then document the schema and migration.
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AI Auth & Identity Workflow
Design access control before you build it, not after a breach — choose the authentication approach, model the roles and permissions, review the design for gaps, then document the identity model.
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AI Integration & Webhook Workflow
Connect systems so they don't break each other — map the integration boundaries, design the event and webhook contracts, plan retries and failure handling, then document the integration.
Workflow
AI Code Review Workflow
A complete AI-assisted review pass — not one prompt — that ends with ranked findings, tests guarding behavior, and a refactor plan when one is warranted.
Workflow
AI Security Review Workflow
Review code for what an attacker would do, not just what tests catch — anchor the model as a security engineer, run a threat-focused review, then back the findings with auth and input tests.
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AI Debugging Workflow
The order that actually finds bugs instead of guessing at them — so you end with a verified fix, not a plausible one that quietly returns next week.
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AI Production Incident Workflow
Work a live production incident in the right order — triage and stabilize first, then find the cause, then write the summary and postmortem — so the fire is out before the writeup begins.
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AI Architecture Recovery Workflow
Recover a legacy system's architecture before you change it — package the codebase context, explain the current structure, surface the risks and seams, then document the recovered architecture.
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AI Legacy Code Modernization Workflow
Update old, risky code you didn't write — safely — by understanding and pinning its behavior in tests before you change a single line.
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AI Code Refactoring Workflow
Restructure code you own without breaking it — change only what's worth changing, and prove with tests and a diff that behavior held.
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AI Test Generation Workflow
Build a test suite that fails for real reasons, not green decoration — coverage across unit, integration, and edge cases, then a review for the gaps.
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AI Performance Optimization Workflow
Speed up code that works but drags — find the actual hot path instead of guessing, understand why it's slow, optimize it, and prove with tests that you changed the speed and nothing else.
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AI Deployment & Release Workflow
Cross the gap between 'tests pass' and 'safe in production' — assess release readiness, plan the deploy and its rollback, and set up the monitoring and launch checks before you ship, not after.
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AI Codebase Onboarding Workflow
Get up to speed on an unfamiliar codebase in an afternoon — ground the AI in the project, have it explain the hard parts, and keep what you learn.
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AI Long Document Analysis Workflow
Get AI to actually read a document that's too big for one prompt — fit it to the model, split it cleanly, package the parts, and analyze them without losing the thread.
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AI Project Handoff Workflow
Carry a project into a new chat, model, or teammate without the context evaporating — capture the state, distill what's worth keeping, and rebuild it as durable context on the other side.
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AI RAG Context Workflow
Prepare documents for a RAG system so retrieved answers stay accurate — budget the chunk size to the model, ground the sources against drift, and split them on clean boundaries for retrieval.
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AI Prompt Engineering Workflow
Fix an unreliable prompt the methodical way instead of poking at it — find what's actually unclear, rewrite for specificity, cut the noise, then prove the new version beats the old one.
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AI System Prompt Design Workflow
Design a system prompt that holds up in production — define the role precisely, engineer the behavior and guardrails on top of it, then check it reads clearly before you ship.
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AI Agent Instruction Workflow
Instruct an AI agent that runs on its own without it wandering off — anchor it to a role, write the agent system prompt, then lay out the multi-step plan it works through.
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AI Agent Evaluation Workflow
Find out whether an AI agent behaves before users do — define what correct means, build test scenarios with expected outputs, catch failures and hallucinations, then regression-test each version.
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AI Reusable Prompt Template Workflow
Turn a prompt that worked once into one you can reuse — pull the winning prompt out of the chat, mark the parts that change as variables, and lock it into a clean template.
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AI Cost Optimization Workflow
Cut what an AI feature costs without dumbing it down — price the prompt as it runs today, see where the tokens go, trim the waste, and re-measure to prove the saving holds at scale.
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AI Product Validation Workflow
Find out whether the thing you shipped actually worked — define the success metric, plan the measurement, classify the real evidence, then render a verdict and an iterate / pivot / scale decision.
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AI Data Extraction Workflow
Turn messy text into structured data you can trust enough to feed another system — bound the source, extract the fields, force clean JSON, and validate before it flows downstream.
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AI Reliable JSON Output Workflow
Make any AI task return JSON your code can rely on — define the schema, force the model to it, validate every response, and diff the drift when a model update breaks the shape.
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AI Classification Workflow
Build a text classification step you can automate on — pull out the unit to classify, assign a label from a fixed set, and validate the label is one you actually allow.
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AI Programmatic SEO Workflow
Generate many intent-matched SEO pages from a template without the thin-content spam — map the search intents, define the page variables, build the template, and QA before publishing at scale.
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AI Data Pipeline & ETL Workflow
Design a pipeline that moves data without corrupting it — map the sources and ingestion, design the transformation stages, set validation and quality gates, then document the pipeline and monitoring.
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AI Research Synthesis Workflow
Pull a single coherent view out of a stack of sources — package them together, summarize each faithfully, then have AI synthesize across them instead of one at a time.
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AI Content Writing Workflow
Turn source material and a target audience into clear docs, help, or knowledge-base content — gather the material, outline the piece, write it section by section, then check it for clarity and gaps.
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AI Meeting Notes Workflow
Turn a meeting transcript into notes people actually use — a faithful summary, the action items pulled out and assigned, and a clean shareable format.
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AI Code Documentation Workflow
Generate documentation that matches the code instead of drifting from it — have AI explain what the code really does, write it up as structured docs, then validate the format holds.
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AI Product Requirements Workflow
Turn a fuzzy business need into requirements a team can build from — interrogate the need into concrete requirements, shape them as user stories, and write the PRD.
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AI MVP Planning Workflow
Cut a product idea down to the smallest first release that proves the core value — separate the real must-haves from everything that can wait, then define the MVP and its success signal.
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AI Customer Feedback Analysis Workflow
Turn a pile of reviews, surveys, or support comments into themes and priorities — extract the real signal, classify it by theme and sentiment, then summarize what's worth acting on.
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AI Content Strategy Workflow
Decide what to publish and why before you write a word — set the business goals and audience, map needs to topics, brief the priority pieces, then turn it into a content plan you publish against.
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AI Website Structure Workflow
Organize a site so people and crawlers find things — inventory the content, group it into a real hierarchy, design the sitemap and navigation, then document the information architecture for the build.
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AI Landing Page Copywriting Workflow
Write a landing page that converts, not one that just describes — sharpen the value proposition, draft the hero and benefits, answer objections at the CTA, then A/B the variants to pick the stronger.
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AI UI & Component Design Workflow
Structure a UI so it stays consistent as it grows — inventory the screens, break them into reusable components, specify the component system and its rules, then review the structure for drift.
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AI Customer Support Workflow
Run inbound support the same way every time — triage and route the ticket, pull the details that matter, draft a reply in a consistent voice, and log the resolution for the record.
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AI Hiring Workflow
Run hiring the same way for every role — build a reusable job-description template, lay out a consistent screening sequence, and extract structured data from resumes instead of eyeballing each one.
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